Section

Physics

Quantum machines, new materials, and the universe at every scale.

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Edition No. 17
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Top stories

  1. 1. A Topological -Geometrical Descriptor (TGD) for Scalable and Interpretable Modeling of Two -Dimensional Carbon Networks

    We introduce a compact Topological-Geometrical Descriptor (TGD) for planar two-dimensional carbon networks.

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  2. 2. RINO: Renormalization Group Distillation with No Labels

    Supervised machine learning in high-energy physics (HEP) requires training on labeled simulations of particle collisions, which are known to be unfaithful to the underlying physics.

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  3. 3. Distance Prediction for Quantum Codes

    The distance of a quantum code is a fundamental metric that dictates its error-correction capability.

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Briefs

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